INDICATOR FOR ASSESSING ACCIDENT RATE OF AIRCRAFT

Aircraft Accident Prevention: Loss-of-Control Analysis

The majority of fatal aircraft accidents are associated with ‘loss-of-control’. Yet the notion of loss-of-control is not well-defined in terms suitable for rigorous control systems analysis. Loss-of-control is generally associated with flight outside of the normal flight envelope, with nonlinear influences, and with an inability of the pilot to control the aircraft. The two primary sources of n...

Jerky driving--An indicator of accident proneness?

This study uses continuously logged driving data from 166 private cars to derive the level of jerks caused by the drivers during everyday driving. The number of critical jerks found in the data is analysed and compared with the self-reported accident involvement of the drivers. The results show that the expected number of accidents for a driver increases with the number of critical jerks caused...

Aircraft accident investigation: the pathologist's role.

General Aspects in Aircraft Accident Investigation

Wiegman and Shappel (26) described years ago a practical and comprehensive model of human factors which can be applied to every accident. The so named HFACS or Human factors Accident Classification System model followed the causative models described by previously by Reason (17) and later by AGARD WG-23 (19). Nowdays it constitues a handy taxonomical tool to identify and determine causal facts ...

An Indicator Framework for Assessing Agroecosystem Resilience

Taking departure in the theory of resilience in social-ecological systems, we present an analysis and discussion of how resilience theory can be applied to agroecosystems. Building on the premise that agroecosystems are too complex for resilience to be measured in any precise manner, we delineate behavior-based indicators of resilience within agroecosystems. Based on a review of relevant litera...